NEWS

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FAPA 0.1.0

Initial release

• fapa_core(): SVD-based core profile estimation with sign normalisation and variance decomposition.
• load_and_ipsatize(): CSV loading and row-centering.
• Three-stage bootstrap verification framework:
  • Stage 1 fapa_pa(): variance-matched Horn's parallel analysis.
  • Stage 2 fapa_procrustes(): subspace stability via Procrustes principal angles.
  • Stage 3 fapa_tucker(): profile replicability via Tucker's congruence coefficients.
• fapa_bca(): BCa bootstrap confidence intervals for core-profile coordinates via boot::boot.ci().
• fapa_person(): person-level reconstruction, pattern weights, and optional bootstrap CIs for selected participants.
• Formatted print methods: print_pa(), print_procrustes(), print_tucker().
• Plotting functions: plot_fapa_core(), plot_pa_scree(), plot_person_match(), plot_principal_angles(), plot_tucker_cc().
• CSV output helpers: write_fapa_results(), write_verification().